Role Overview

We are looking for motivated graduate engineers interested in Python, cloud, AI and modern software engineering. Interns will work alongside experienced engineers on prototypes, APIs, AI-enabled applications, cloud-based services, data-processing components and reusable engineering utilities. This opportunity is ideal for candidates who enjoy building things, solving problems and learning emerging technologies.

Key Responsibilities

• Develop Python applications and utilities.

• Build and consume REST APIs.

• Work with structured and unstructured data.

• Assist in building AI and GenAI prototypes.

• Experiment with LLM APIs, RAG and AI agents.

• Deploy simple applications or services to cloud environments under guidance.

• Learn cloud compute, storage, databases and application services.

• Write unit tests and debugging utilities.

• Work with Git and modern development workflows.

• Support application integration and testing.

• Create technical documentation.

• Participate in engineering discussions and code reviews.

• Learn cloud and AI engineering technologies.

• Build reusable components under guidance from senior engineers.

Required Skills

• Strong Python fundamentals.

• Understanding of data structures, object-oriented programming, algorithms, SQL and REST/API concepts.

• Basic Git knowledge.

• Basic familiarity with at least one cloud platform: Azure, AWS or GCP. Exposure may come from coursework, certification, internship or personal/academic projects.

• Strong logical and analytical ability.

• Good communication skills.

• Willingness to learn rapidly.

Preferred / Additional Exposure

• Azure / AWS / GCP and basic cloud deployment.

• Machine Learning or Generative AI.

• LLM APIs, RAG and AI agents.

• FastAPI, GitHub and Docker.

• Hackathons, internships, open-source work or personal projects.

What We Are Looking For

• Evidence of what you have actually built: academic projects, GitHub repositories, hackathons, personal experiments, internships or deployed applications.

• Strong programming fundamentals.

• Basic cloud awareness.

• Curiosity and problem-solving ability.

• Ability to learn quickly and work collaboratively.

Additional Note

Certifications alone are not important. Strong fundamentals and evidence of hands-on work matter more than knowing every AI framework.